Impact of pharmacist interventions provided in the emergency department on quality use of medicines: a systematic review and meta-analysis.

BACKGROUND: Pharmacists have an increasing role as part of the emergency department (ED) team. However, the impact of ED-based pharmacy interventions on the quality use of medicines has not been well characterised. OBJECTIVE: This systematic review aimed to synthesise evidence from studies examining the impact of interventions provided by pharmacists on the quality use of medicines in adults presenting to ED. METHODS: A systematic literature search was conducted in MEDLINE, EMBASE and CINAHL. Two independent reviewers screened titles/abstracts and reviewed full texts. Studies that compared the impact of interventions provided by pharmacists with usual care in ED and reported medication-related primary outcomes were included. Cochrane Risk of Bias-2 and Newcastle-Ottawa tools were used to assess the risk of bias. Summary estimates were pooled using random-effects meta-analysis, along with sensitivity and sub-group analyses. RESULTS: Thirty-one studies involving 13 242 participants were included. Pharmacists were predominantly involved in comprehensive medication review, advanced pharmacotherapy assessment, staff and patient education, identification of medication discrepancies and drug-related problems, medication prescribing and co-prescribing, and medication preparation and administration. The activities reduced the number of medication errors by a mean of 0.33 per patient (95% CI -0.42 to -0.23, I2=51%) and the proportion of patients with at least one error by 73% (risk ratio (RR)=0.27, 95% CI 0.19 to 0.40, I2=85.3%). The interventions were also associated with more complete and accurate medication histories, increased appropriateness of prescribed medications by 58% (RR=1.58, 95% CI 1.21 to 2.06, I2=95%) and quicker initiation of time-critical medications. CONCLUSION: The evidence indicates improved quality use of medicines when pharmacists are included in ED care teams. PROSPERO REGISTRATION NUMBER: CRD42020165234.

Stroke risk reassessment and oral anticoagulant initiation in primary care patients with atrial fibrillation: A ten-year follow-up.

AIM: To examine the change in stroke risk over time and determine the proportion of patients with atrial fibrillation (AF) who were initiated on an oral anticoagulant (OAC) as their stroke risk increased from low/moderate to high, using the Australian general practice data set, MedicineInsight. METHODS: A total of 2296 patients diagnosed with AF between 1 January 2007 and 31 December 2008, aged 18 years or older and not initiated on an OAC before 2009, were included. We assessed the change in stroke risk and the proportion of patients who had a recorded prescription of an OAC, each year from 1 January 2009 to 31 December 2018. RESULTS: At baseline, 23.9%, 22.9% and 53.2% were categorised as being at low (score = 0), moderate (score = 1) and high stroke risk (score ≥ 2), respectively, using the sexless CHA2 DS2 -VASc (CHA2 DS2 -VA) score. Overall, the CHA2 DS2 -VA score increased by a mean of 1.34 (95% confidence interval, 1.29-1.39) points over the study period. Nearly two-thirds of patients (65%, 412/632) whose stroke risk changed from baseline low/moderate to high were subsequently prescribed an OAC. The median (interquartile range) lag time from becoming high stroke risk to having OAC initiation was 2 (5) years. CONCLUSIONS: Nearly one-third of patients reclassified as being at high risk of stroke during the study period were not prescribed OAC therapy. Furthermore, the delay in OAC initiation following classification as being at high risk was a median of 2 years, suggesting that more frequent stroke reassessment is needed.

Factors influencing oral anticoagulant use in patients newly diagnosed with atrial fibrillation.

BACKGROUND: We investigated factors that influenced oral anticoagulant (OAC) initiation and choice in Australian general practice patients newly diagnosed with AF. METHODS: Using an Australian nationally representative general practice dataset, MedicineInsight, we identified patients newly diagnosed with AF between January 2009 and April 2019. Logistic regression analyses were used to examine factors associated with OAC initiation and choice. RESULTS: A total of 63 212 patients with AF (53.7% males, mean age 72.4 years) were identified. Nearly two-thirds of these patients (40 854 [64.6%]) were initiated on an OAC, at a median time of 6 days after the documented diagnosis date. The proportion of patients who were initiated an OAC increased from 44.8% in 2009 to 72.2% in 2019 (P < .001). High risk of stroke (CHA2 DS2 -VASc, adjusted odds ratio (AOR), 4.39 [95% CI, 3.99-4.83]), low risk of bleeding (ORBIT, AOR, 1.87 [95% CI, 1.72-2.03]), not having a recorded history of dementia (AOR, 1.81 [95% CI, 1.65-1.98]) and male sex (AOR, 1.29 [95% CI, 1.22-1.35]) were independently associated with OAC initiation. Direct-acting oral anticoagulant (DOAC) use increased from 11.9% in 2011 to 94.0% of all OAC initiations in April 2019 (P < .001). CONCLUSIONS: The proportion of newly diagnosed patients with AF initiated on OAC increased markedly following the introduction of the DOACs. Of those initiated, 9 in 10 were receiving a DOAC at the end of the study period. There is potential underuse in women and individuals with dementia.

Ten-year trends in prescribing of antiarrhythmic drugs in Australian primary care patients with atrial fibrillation.

Despite changes in antiarrhythmic drug (AAD) choice in patients with atrial fibrillation (AF), trends in AAD prescribing remain not investigated. We aimed to examine these changes using a nationwide Australian general practice data from 2009 to 2018. Over the 10 years, AAD prescribing in patients with AF decreased, which was mainly due to a reduction in the use of amiodarone, sotalol and digoxin. In contrast, the use of beta-blockers and flecainide increased.

Quality use of medicines in patients with chronic kidney disease.

BACKGROUND: Chronic kidney disease (CKD) affects drug elimination and patients with CKD require appropriate adjustment of renally cleared medications to ensure safe and effective pharmacotherapy. The main objective of this study was to determine the extent of potentially inappropriate prescribing (PIP; defined as the use of a contraindicated medication or inappropriately high dose according to the kidney function) of renally-cleared medications commonly prescribed in Australian primary care, based on two measures of kidney function. A secondary aim was to assess agreement between the two measures. METHODS: Retrospective analysis of routinely collected de-identified Australian general practice patient data (NPS MedicineWise MedicineInsight from January 1, 2013, to June 1, 2016; collected from 329 general practices). All adults (aged ≥18 years) with CKD presenting to general practices across Australia were included in the analysis. Patients were considered to have CKD if they had two or more estimated glomerular filtration rate (eGFR) recorded values < 60 mL/min/1.73m2, and/or two urinary albumin/creatinine ratios ≥3.5 mg/mmol in females (≥2.5 mg/mmol in males) at least 90 days apart. PIP was assessed for 49 commonly prescribed medications using the Cockcroft-Gault (CG) equation/eGFR as per the instructions in the Australian Medicines Handbook. RESULTS: A total of 48,731 patients met the Kidney Health Australia (KHA) definition for CKD and had prescriptions recorded within 90 days of measuring serum creatinine (SCr)/estimated glomerular filtration rate (eGFR). Overall, 28,729 patients were prescribed one or more of the 49 medications of interest. Approximately 35% (n = 9926) of these patients had at least one PIP based on either the Cockcroft-Gault (CG) equation or eGFR (CKD-EPI; CKD-Epidemiology Collaboration Equation). There was good agreement between CG and eGFR while determining the appropriateness of medications, with approximately 97% of the medications classified as appropriate by eGFR also being considered appropriate by the CG equation. CONCLUSION: This study highlights that PIP commonly occurs in primary care patients with CKD and the need for further research to understand why and how this can be minimised. The findings also show that the eGFR provides clinicians a potential alternative to the CG formula when estimating kidney function to guide drug appropriateness and dosing.

Medication Regimen Complexity and Hospital Readmission in Older Adults With Chronic Kidney Disease.

BACKGROUND: Chronic kidney disease (CKD) is characterized by high rates of hospital admissions and readmissions. However, there is a scarcity of research into medication-related factors predicting such outcomes in this patient group. OBJECTIVE: To evaluate the effect of medication regimen complexity at hospital discharge on subsequent readmissions and their timing in older adults with CKD. METHODS: This was a 12-month retrospective cohort study of 204 older (⩾65 years) CKD patients in an Australian tertiary care hospital. Medication regimen complexity was quantified using the 65-item medication regimen complexity index (MRCI). The outcomes were the occurrence of readmission in 30 days and time to readmission within 12 months. Logistic regression was used to identify factors predicting 30-day readmission, and a competing risks proportional subdistribution hazard model, accounting for deaths, was used for factors predicting time to readmission. RESULTS: Overall, 50 (24%) patients, predominantly men (72%), were readmitted within 30 days of follow-up. MRCI was not significantly associated with 30-day readmission (odds ratio [OR] = 1.27; 95% CI = 0.94-1.73). The median (interquartile range) time to readmission within 12 months was 145 (31-365) days. On a multivariate analysis, a 10-unit increase in MRCI was associated with a shorter time to readmission within 12 months (subdistribution HR = 1.18; 95% CI = 1.01-1.36). Conclusion and Relevance: Medication regimen complexity was not significantly associated with 30-day readmission; however, it was associated with a significantly shorter time to 12-month readmission in older CKD patients. This finding highlights the importance of medication regimen complexity as a potential target for medical interventions to reduce readmission risks.

Epidemiology of chronic kidney disease in Australian general practice: National Prescribing Service MedicineWise MedicineInsight dataset.

AIM: To describe sociodemographic characteristics and comorbidities of a large cohort of Australian general practice-based patients identified as having chronic kidney disease (CKD), using data from National Prescribing Service (NPS) MedicineWise's MedicineInsight dataset, and compare this dataset to the 2011-2012 Australian Health Survey's (AHS) CKD prevalence estimates. METHODS: This was a cohort study using deidentified, longitudinal, electronic health record data collected from 329 practices and 1 483 416 patients distributed across Australia, from 1 June 2013 until 1 June 2016. Two methods were used to calculate the CKD prevalence. One used the same method as used by the 2011-2012 AHS, based on one estimate of the estimated glomerular filtration rate (eGFR) or albumin/creatinine ratios (ACR). The other defined CKD more rigorously using eGFR or ACR results at least 90 days apart. RESULTS: In 2016, of 1 310 602 active patients, 710 674 (54.2%) did not have an eGFR or ACR test, while 524 961 (40.1%) had an eGFR or ACR test but did not meet AHS criteria for CKD. Age-sex adjusted rates of CKD (compared to AHS) were CKD 1-0.45% (3.9%), CKD 2-0.62% (2.5%), CKD 3a: 3.1% (2.7%), CKD 3b: 1.14% (0.6%), CKD 4-5: 0.41% (0.3%). The CKD cohort defined more rigorously using eGFR and ACR measures >90 days apart, had comorbidities of atrial fibrillation (30.5%), cardiovascular disease (25.0%), diabetes mellitus (17.1%) and hypertension (14.8%). CONCLUSION: The MedicineInsight dataset contains valuable and timely information about Australian patients with CKD, and provides prevalence estimates similar to those from AHS data.

Inappropriate prescribing in chronic kidney disease: A systematic review of prevalence, associated clinical outcomes and impact of interventions.

INTRODUCTION: Adjusting doses of renally cleared medications and/or avoidance of nephrotoxic medications are standard clinical practices in chronic kidney disease (CKD), albeit the prevalence of inappropriate prescribing (IP) in these patients remains high. Therefore, this work sought to systematically review the prevalence of IP and compare the relative effectiveness of available interventions in reducing IP in CKD. METHODS: Studies were identified searching PubMed/Medline, EMBASE, Cochrane Library, IPA, Web of Science, Ovid/Medline, CINAHL, and PsychINFO databases. Studies defining CKD based on laboratory markers and quantifying prevalence of IP were included. RESULTS: Forty-nine studies from 23 countries met the inclusion criteria. An IP prevalence of 9.4%-81.1% and 13%-80.50% was reported in hospital and ambulatory settings, respectively; whereas, in long-term care facilities the prevalence ranged between 16% and 37.9%. Unsurprisingly, IP was associated with adverse drug events like increased hospital stay (Mean [SD] of 4.5 [4.8] vs 4.3 [4.5]) and high risk of mortality [40%]. Twenty-one studies reported the impact of interventions on IP; manual and computerised alerts were the main forms of interventions (n=19). The most significant reduction in IP was observed when physicians received immediate concurrent feedback from a clinical pharmacist (P<.001). Polypharmacy, comorbidities, and age were identified as predictors of IP. CONCLUSION: IP has led to poor patient outcomes. Although pharmacist-based and computer-aided approaches have shown promising results, there is still room for improvement. Future studies should focus on developing a multifaceted intervention to address the widespread prevalence of IP and associated clinical outcomes in CKD patients.

Medication Regimen Complexity and Polypharmacy as Factors Associated With All-Cause Mortality in Older People: A Population-Based Cohort Study.

OBJECTIVES: To investigate whether medication regimen complexity and/or polypharmacy are associated with all-cause mortality in older people. METHODS: This was a population-based cohort study among community-dwelling and institutionalized people ≥60 years old (n = 3348). Medication regimen complexity was assessed using the 65-item Medication Regimen Complexity Index (MRCI) in 10-unit steps. Polypharmacy was assessed as a continuous variable (number of medications). Mortality data were obtained from the Swedish National Cause of Death Register. Cox proportional hazard models were used to compute unadjusted and adjusted hazard ratios (HRs) and 95% CIs for the association between regimen complexity and polypharmacy with all-cause mortality over a 3-year period. Subanalyses were performed stratifying by age (≤80 and>80 years), sex, and cognition (Mini-Mental State Examination [MMSE] <26 and ≥26). RESULTS: During follow-up, 14% of the participants (n = 470) died. After adjusting for age, sex, comorbidity, educational level, activities of daily living, MMSE, and residential setting, a higher MRCI was associated with mortality (adjusted HR = 1.12; 95% CI = 1.01-1.25). Polypharmacy was not associated with mortality (adjusted HR = 1.03; 95% CI = 0.99-1.06). When stratifying by sex, both MRCI and polypharmacy were associated with mortality in men but not in women. MRCI was associated with mortality in participants ≤80 years old and in participants with MMSE ≥26 but not in participants >80 years old or with MMSE <26. CONCLUSION: Regimen complexity was a better overall predictor of mortality than polypharmacy. However, regimen complexity was not predictive of mortality in women, in participants >80 years old, or in those with MMSE<26. These different associations with mortality deserve further investigation.

Polypharmacy and medication regimen complexity as factors associated with staff informant rated quality of life in residents of aged care facilities: a cross-sectional study.

PURPOSE: The purpose of this study is to investigate the association between polypharmacy with health-related quality of life (HRQoL) and medication regimen complexity with HRQoL in residential aged care facilities (RACFs). METHODS: A cross-sectional study of 383 residents from six Australian RACFs was conducted. The primary exposures were polypharmacy (≥9 regular medications) and the validated Medication Regimen Complexity Index (MRCI). The outcome measure was staff informant rated quality of life assessed using the Quality of Life Alzheimer's disease (QoL-AD) scale. Covariates included age, sex, Charlson's comorbidity index, activities of daily living, and dementia severity. Logistic quantile regression was used to characterize the association between polypharmacy and QoL-AD (model 1) and MRCI and QoL-AD (model 2). RESULTS: The median age of the 383 residents was 88 years and 297 (78 %) residents were female. In total, 63 % of residents were exposed to polypharmacy and the median MRCI score (range) was 43.5 (4-113). After adjusting for the covariates, polypharmacy was not associated with either higher or lower QoL-AD scores (estimate -0.02; 95 % confidence interval (CI) -0.165, 0.124; p = 0.78). Similarly, after adjusting for the covariates, MRCI was not associated with either higher or lower QoL-AD scores (estimate -0.0009, 95 % CI -0.005, 0.003; p = 0.63). CONCLUSIONS: These findings suggest that polypharmacy and medication regimen complexity are not associated with staff informant rated HRQoL. Further research is needed to investigate how specific medication classes may impact change in quality of life over time.

Factors associated with medication regimen complexity in older people: a cross-sectional population-based study.

PURPOSE: There is a lack of population-based research about factors associated with medication regimen complexity. This study investigated factors associated with medication regimen complexity in older people, and whether factors associated with regimen complexity were similar to factors associated with number of medications. METHODS: This cross-sectional population-based study included 3348 people aged ≥ 60 years. Medication regimen complexity was computed using the validated 65-item Medication Regimen Complexity Index (MRCI). Multinomial logistic regression was used to compute unadjusted and adjusted odds ratios (ORs) with 95 % confidence intervals (CIs) for factors associated with regimen complexity. Multivariable quantile regression was used to compare factors associated with regimen complexity and number of medications. RESULTS: In adjusted analyses, participants in the highest MRCI quintile (MRCI > 20) were older (OR = 1.04, 95 % CI 1.02;1.05), less likely to live at home (OR = 0.35, 95 % CI 0.15;0.86), had greater comorbidities (OR = 2.17, 95 % CI 1.89;2.49), had higher cognitive status (OR = 1.06, 95 % CI 1.01;1.11), a higher prevalence of self-reported pain (OR = 2.85, 95 % CI 2.16;3.76), had impaired dexterity (OR = 2.39, 95 % CI 1.77;3.24) and were more likely to receive help to sort their medications (OR = 4.43 95 % CI 2.39;8.56) than those with low regimen complexity (MRCI > 0-5.5). Similar factors were associated with both regimen complexity and number of medications. CONCLUSION: Older people with probable difficulties managing complex regimens, including those with impaired dexterity and living in institutional settings, had the most complex medication regimens even after adjusting for receipt of help to sort medications. The strong correlation between regimen complexity and number of medications suggests that clinicians could use a person's number of medications to target interventions to reduce complexity.

Medication Regimen Complexity and Unplanned Hospital Readmissions in Older People.

BACKGROUND: Medication-related problems and adverse drug events are leading causes of preventable hospitalizations. Few previous studies have investigated the possible association between medication regimen complexity and unplanned rehospitalization. OBJECTIVE: To investigate the association between discharge medication regimen complexity and unplanned rehospitalization over a 12-month period. METHOD: The prospective study comprised patients aged ≥70 years old consecutively admitted to a Geriatrics Evaluation and Management (GEM) unit between October 2010 and December 2011. Medication regimen complexity at discharge was calculated using the 65-item validated Medication Regimen Complexity Index (MRCI). Cox proportional-hazards regression was used to compute unadjusted and adjusted hazard ratios (HRs) with 95% CIs for factors associated with rehospitalization over a 12-month follow-up period. RESULT: Of 163 eligible patients, 99 patients had one or more unplanned hospital readmissions. When adjusting for age, sex, activities of daily living, depression, comorbidity, cognitive status, and discharge destination, MRCI (HR = 1.01; 95% CI = 0.81-1.26), number of discharge medications (HR = 1.01; 95% CI = 0.94-1.08), and polypharmacy (≥9 medications; HR = 1.12; 95% CI = 0.69-1.80) were not associated with rehospitalization. In patients discharged to nonhome settings, there was an association between rehospitalization and the number of discharge medications (HR = 1.12; 95% CI = 1.01-1.25) and polypharmacy (HR = 2.24; 95% CI = 1.02-4.94) but not between rehospitalization and MRCI (HR = 1.32; 95% CI = 0.98-1.78). CONCLUSION: Medication regimen complexity was not associated with unplanned hospital readmission in older people. However, in patients discharged to nonhome settings, the number of discharge medications and polypharmacy predicted rehospitalization. A patient's discharge destination is an important factor in unplanned medication-related readmissions.

Redesigning Medication Management in the Emergency Department: The Impact of Partnered Pharmacist Medication Charting on the Time to Administer Pre-Admission Time-Critical Medicines, Medication Order Completeness, and Venous Thromboembolism Risk Assessment.

In order to enhance interdisciplinary collaboration and promote better medication management, a partnered pharmacist medication charting (PPMC) model was piloted in the emergency department (ED) of an Australian referral hospital. The primary objective of this study was to evaluate the impact of PPMC on the timeliness of time-critical medicines (TCMs), completeness of medication orders, and assessment of venous thromboembolism (VTE) risk. This concurrent controlled retrospective pragmatic trial involved individuals aged 18 years and older presenting to the ED from 1 June 2020 to 17 May 2021. The study compared the PPMC approach (PPMC group) with traditional medical officer-led medication charting approaches in the ED, either an early best-possible medication history (BPMH) group or the usual care group. In the PPMC group, a BPMH was documented promptly soon after arrival in the ED, subsequent to which a collaborative discussion, co-planning, and co-charting of medications were undertaken by both a PPMC-credentialled pharmacist and a medical officer. In the early BPMH group, the BPMH was initially obtained in the ED before proceeding with the traditional approach of medication charting. Conversely, in the usual care group, the BPMH was obtained in the inpatient ward subsequent to the traditional approach of medication charting. Three outcome measures were assessed -the duration from ED presentation to the TCM's first dose administration (e.g., anti-Parkinson's drugs, hypoglycaemics and anti-coagulants), the completeness of medication orders, and the conduct of VTE risk assessments. The analysis included 321 TCMs, with 107 per group, and 1048 patients, with 230, 230, and 588 in the PPMC, early BPMH, and usual care groups, respectively. In the PPMC group, the median time from ED presentation to the TCM's first dose administration was 8.8 h (interquartile range: 6.3 to 16.3), compared to 17.5 h (interquartile range: 7.8 to 22.9) in the early BPMH group and 15.1 h (interquartile range: 8.2 to 21.1) in the usual care group (p < 0.001). Additionally, PPMC was associated with a higher proportion of patients having complete medication orders and receiving VTE risk assessments in the ED (both p < 0.001). The implementation of the PPMC model not only expedited the administration of TCMs but also improved the completeness of medication orders and the conduct of VTE risk assessments in the ED.

The impact of partnered pharmacist medication charting in the emergency department on the use of potentially inappropriate medications in older people.

Introduction: A process redesign, partnered pharmacist medication charting (PPMC), was recently piloted in the emergency department (ED) of a tertiary hospital. The PPMC model was intended to improve medication safety and interdisciplinary collaboration by having pharmacists work closely with medical officers to review and chart medications for patients. This study, therefore, aimed to evaluate the impact of PPMC on potentially inappropriate medication (PIM) use. Methods: A pragmatic concurrent controlled study compared a PPMC group to both early best-possible medication history (BPMH) and usual care groups. In the PPMC group, pharmacists initially documented the BPMH and collaborated with medical officers to co-develop treatment plans and chart medications in ED. The early BPMH group included early BPMH documentation by pharmacists, followed by traditional medication charting by medical officers in ED. The usual care group followed the traditional charting approach by medical officers, without a pharmacist-collected BPMH or collaborative discussion in ED. Included were older people (≥65 years) presenting to the ED with at least one regular medication with subsequent admission to an acute medical unit. PIM outcomes (use of at least one PIM, PIMs per patient and PIMs per medication prescribed) were assessed at ED presentation, ED departure and hospital discharge using Beers criteria. Results: Use of at least one PIM on ED departure was significantly lower for the PPMC group than for the comparison groups (χ2, p = 0.040). However, PIM outcomes at hospital discharge were not statistically different between groups. PIM outcomes on ED departure or hospital discharge did not differ from baseline within the comparison groups. Discussion: In conclusion, PIM use on leaving ED, but not at hospital discharge, was reduced with PPMC. Close interprofessional collaboration, as in ED, needs to continue on the wards.

Ten-Year Trends in Psychotropic Prescribing and Polypharmacy in Australian General Practice Patients with and without Dementia.

OBJECTIVE: Little research has evaluated trends in psychotropic prescribing and polypharmacy in primary care patients, especially those with dementia. We sought to examine this in Australia from 2011 to 2020 using the primary care dataset, MedicineInsight. METHODS: Ten consecutive serial cross-sectional analyses were performed to evaluate the proportion of patients aged 65 years or more, with a recorded diagnosis of dementia, who were prescribed psychotropic medications within the first six months of each year from 2011 to 2020. This proportion was compared with propensity score-matched control patients without dementia. RESULTS: Before matching, 24,701 patients (59.2% females) with, and 72,105 patients (59.2% females) without, a recorded diagnosis of dementia were included. In 2011, 42% (95% confidence interval [CI] 40.5-43.5%) of patients in the dementia group had at least one recorded prescription of a psychotropic medication, which declined to 34.2% (95% CI 33.3-35.1%; p for trend < 0.001) by 2020. However, it remained unchanged for matched controls (36% [95% CI 34.6-37.5%] in 2011 and 36.7% [95% CI 35.7-37.6%] in 2020). The greatest decline in the dementia groups by medication class was for antipsychotics (from 15.9% [95% CI 14.8-17.0%] to 8.8% [95% CI 8.2-9.4%]; p for trend < 0.001). During this period, the prevalence of psychotropic polypharmacy (use of two or more individual psychotropics) also decreased from 21.7% (95% CI 20.5-22.9%) to 18.1% (95% CI 17.4-18.9%) in the dementia groups, and slightly increased from 15.2% (95% CI 14.1-16.3%) to 16.6% (95% CI 15.9-17.3%) in the matched controls. CONCLUSIONS: The decline in psychotropic prescribing, particularly antipsychotics, in Australian primary care patients with dementia is encouraging. However, psychotropic polypharmacy still occurred in almost one in five patients with dementia at the end of the study period. Programs focused on encouraging further reductions in the use of multiple psychotropic drugs in patients with dementia are recommended, particularly in rural and remote regions.

Clinical and economic impact of partnered pharmacist medication charting in the emergency department.

Introduction: Partnered pharmacist medication charting (PPMC), a process redesign hypothesised to improve medication safety and interdisciplinary collaboration, was trialed in a tertiary hospital's emergency department (ED). Objective: To evaluate the health-related impact and economic benefit of PPMC. Methods: A pragmatic, controlled study compared PPMC to usual care in the ED. PPMC included a pharmacist-documented best-possible medication history (BPMH), followed by a clinical conversation between a pharmacist and a medical officer to jointly develop a treatment plan and chart medications. Usual care included medical officer-led traditional medication charting in the ED, without a pharmacist-obtained BPMH or clinical conversation. Outcome measures, assessed after propensity score matching, were length of hospital or ED stay, relative stay index (RSI), in-hospital mortality, 30-day hospital readmissions or ED revisits, and cost. Results: A total of 309 matched pairs were analysed. The median RSI was reduced by 15.4% with PPMC (p = 0.029). There were no significant differences between the groups in the median length of ED stay (8 vs. 10 h, p = 0.52), in-hospital mortality (1.3% vs. 1.3%, p > 0.99), 30-day readmission rates (21% vs. 17%; p = 0.35) and 30-day ED revisit rates (21% vs. 19%; p = 0.68). The hospital spent approximately $138.4 for the cost of PPMC care per patient to avert at least one medication error bearing high/extreme risk. PPMC saved approximately $1269 on the average cost of each admission. Conclusion: Implementing the ED-based PPMC model was associated with a significantly reduced RSI and admission costs, but did not affect clinical outcomes, noting that there was an additional focus on medication reconciliation in the usual care group relative to current practice at our study site.

Medication Regimen Complexity and Risk of Bleeding in People Who Initiate Oral Anticoagulants for Atrial Fibrillation: A Population-Based Study.

BACKGROUND: Oral anticoagulants (OACs) are high-risk medications often used in older people with complex medication regimens. This study was the first to assess the association between overall regimen complexity and bleeding in people with atrial fibrillation (AF) initiating OACs. METHODS: Patients diagnosed with AF who initiated an OAC (warfarin, dabigatran, rivaroxaban, apixaban) between 2010 and 2016 were identified from the Hong Kong Clinical Database and Reporting System. Each patient's Medication Regimen Complexity Index (MRCI) score was computed. Baseline characteristics were balanced using inverse probability of treatment weighting. People were followed until a first hospitalization for bleeding (intracranial hemorrhage, gastrointestinal bleeding, or other bleeding) and censored at discontinuation of the index OAC, death, or end of the follow-up period, whichever occurred first. Cox regression was used to estimate hazard ratios (HR) between MRCI quartiles and bleeding during initiation and all follow-up. RESULTS: There were 19 292 OAC initiators (n = 9 092 warfarin, n = 10 200 direct oral anticoagulants) with a mean (standard deviation) age at initiation of 73.9 (11.0) years. More complex medication regimens were associated with an increased risk of bleeding (MRCI > 14.0-22.00: aHR 1.17, 95% confidence interval [CI] 0.93-1.49; MRCI > 22.0-32.5: aHR 1.32, 95%CI 1.06-1.66; MRCI > 32.5: aHR 1.45, 95%CI 1.13-1.87, compared to MRCI ≤ 14). No significant association between MRCI and bleeding risk was observed during the initial 30, 60, or 90 days of treatment. CONCLUSION: In this cohort study of people with AF initiating an OAC, a more complex medication regimen was associated with higher bleeding risk over periods longer than 90 days. Further prospective studies are needed to assess whether MRCI should be considered in OAC prescribing.

Impact of Partnered Pharmacist Medication Charting (PPMC) on Medication Discrepancies and Errors: A Pragmatic Evaluation of an Emergency Department-Based Process Redesign.

Medication errors are more prevalent in settings with acutely ill patients and heavy workloads, such as in an emergency department (ED). A pragmatic, controlled study compared partnered pharmacist medication charting (PPMC) (pharmacist-documented best-possible medication history [BPMH] followed by clinical discussion between a pharmacist and medical officer to co-develop a treatment plan and chart medications) with early BPMH (pharmacist-documented BPMH followed by medical officer-led traditional medication charting) and usual care (traditional medication charting approach without a pharmacist-collected BPMH in ED). Medication discrepancies were undocumented differences between medication charts and medication reconciliation. An expert panel assessed the discrepancies' clinical significance, with 'unintentional' discrepancies deemed 'errors'. Fewer patients in the PPMC group had at least one error (3.5%; 95% confidence interval [CI]: 1.1% to 5.8%) than in the early BPMH (49.4%; 95% CI: 42.5% to 56.3%) and usual care group (61.4%; 95% CI: 56.3% to 66.7%). The number of patients who need to be treated with PPMC to prevent at least one high/extreme error was 4.6 (95% CI: 3.4 to 6.9) and 4.0 (95% CI: 3.1 to 5.3) compared to the early BPMH and usual care group, respectively. PPMC within ED, incorporating interdisciplinary discussion, reduced clinically significant errors compared to early BPMH or usual care.

A biophysical glance at the outer surface of the membrane transporter SGLT1.

Proteins mediating the transport of solutes across the cell membrane control the intracellular conditions in which life can occur. Because of the particular arrangement of spanning a lipid bilayer and the many conformations required for their function, transport proteins pose significant obstacles for the investigation of their structure-function relation. Crystallographic studies, if available, define the transmembrane segments in a "frozen" state and do not provide information on the dynamics of the extramembranous loops, which are similarly evolutionary conserved and thus as functionally important as the other parts of the protein. The current review presents biophysical methods that can shed light on the dynamics of transporters in the membrane. The techniques that are presented in some detail are single-molecule recognition atomic force microscopy and tryptophan scanning, which can report on the positioning of the loops and on conformational changes at the outer surface. Studies on a variety of symporters are discussed, which use gradients of sodium or protons as energy source to translocate (mainly organic) solutes against their concentration gradients into or out of the cells. Primarily, investigations of the sodium-glucose cotransporter SGLT1 are used as examples for this biophysical approach to understand transporter function.

Improving Knowledge and Early Detection of Atrial Fibrillation through a Community-Based Opportunistic Screening Program: What's Your Beat?

A community-based opportunistic screening program was implemented to (i) improve atrial fibrillation (AF) awareness and detection and (ii) assess the performance of the Microlife WatchBP Home A for detecting AF when used in community screening. Screening sessions were conducted among people aged ≥ 65 years with no history of AF at public events across Tasmania, Australia. Participants with positive screening results were referred to their general medical practitioner for assessment. The device's performance was assessed using the positive predictive value. A total of 1704 eligible participants were screened at 79 sessions. Of these people, 50 (2.9%) had a positive screening result. The device correctly identified AF in 22 (46.8%) participants with positive results. Among those with subsequently confirmed AF, 6 (27.3%) had a history of AF but were not aware of the diagnosis, and 16 (72.7%) were identified to have previously undiagnosed AF, with an overall prevalence of 0.9% (95% CI, 0.58 to 1.52). Oral anticoagulation therapy was initiated in 12 (87.5%) eligible participants. The positive predictive value of the device was 46.8% (95% CI, 33.3 to 60.7). Given the relatively low performance of the device, its application in community-based opportunistic screening programs for AF is unlikely to be cost-effective.